Techniques for improving overall consistency of serial ECG analysis

Concordancia entre observadores en el diagnóstico electrocardiográfico de la hipertrofia ventricular izquierda en hipertensos de Andalucía. Estudio PREHVIA

“…En niños, un estudio mostró una concordancia baja en el diagnóstico de HVI-ECG entre dos cardiólogos (k ¼ 0,44-0,52) 18 . Además, varios estudios han valorado la comparación entre profesionales sanitarios y diferentes métodos automatizados de análisis 17,19,20 . Es posible que algunos investigadores diagnosticasen la HVI-ECG con un punto de corte 435 mm según el criterio de Sokolow-Lyon, como se ha hecho en otros estudios 3,7,18 , ya que sobrestimaron levemente la prevalencia según este criterio (26 pacientes [4,8%] fueron considerados con HVI-ECG por el investigador y sin HVI-ECG por el cardiólogo, y sólo 3 al contrario).…”

Serial VCG/ECG Analysis Using Neural Networks

“…Most interpretation programs are still based on such a structure which thus is likely to result in serial analysis with performance inferior to that of the neural network approach. In order to improve the performance of rule-based analysis, recent efforts have been presented which consider smooth decision functions rather than binary threshold functions (18). This approach was found to reduce problems associated with modest variations in waveform measurements and therefore improved the repeatability of serial analysis.…”

Hippocampal Magnetization Transfer Ratio at 3T: Validation of Automated Postprocessing and Comparison of Quantification Metrics

“…An ICC approaching 1 would indicate high reproducibility in each case. Between‐time reproducibility was assessed using coefficient of variation (COV) for repeated measures and estimated as the variation divided by the mean of the different time point measurements 25 . As the repeated measurements grow more different from each other, the COV will approach 100%.…”